HTTP Interface and External Systems for SMO Products

Core data for Site Management Organization (SMO) products originates from clinical trial site operational records. This data includes subject

Data Characteristics for this Category

Core data for Site Management Organization (SMO) products originates from clinical trial site operational records. This data includes subject recruitment progress, visit schedules and actual execution, adverse event reports, drug management records, and investigator and research nurse qualifications and training records. Data updates frequently, especially during clinical trials, with subject visit data updating daily or weekly. Document structures typically include structured database records, semi-structured spreadsheets (e.g., Excel exports), and unstructured text reports (e.g., PDF ethical review approvals, study protocols). Core fields include subject_id (subject ID), visit_date (visit date), ae_type (adverse event type), drug_batch_no (drug batch number), and investigator_id (investigator ID). Time units are precise to the day, and quantity units are precise to individual counts or milligrams.

Constraints from these Characteristics on HTTP Interfaces and External Systems

The high update frequency of SMO product data requires HTTP interface designs that support efficient incremental update mechanisms. This avoids performance burdens from full synchronization. Diverse data sources (structured, semi-structured, unstructured) mean interfaces must handle standard JSON or XML formats and support file uploads or parsing specific text formats. For example, unstructured PDF ethical approval documents require OCR service conversion to searchable text. Field specificity and unit precision require strict type validation and unit conversion during data transmission and reception. This prevents information misalignment due to inconsistent data formats. For instance, the visit_date field must be a valid date format, and drug_batch_no may contain alphanumeric combinations requiring string processing. If interfaces cannot respond promptly or handle high concurrency requests, clinical trial data may lag, impacting decision-making.

Configuration Settings

Configuration ItemRecommended ValueRationale
API_TIMEOUT_SECONDS60 secondsClinical data volumes can be large and include file transfers. Extend timeout to prevent connection drops due to slow transfers or backend processing delays.
MAX_REQUEST_BODY_SIZE50 MBSupports uploading requests containing document attachments, such as ethical approval PDFs or detailed visit record tables.
CONCURRENT_REQUEST_LIMIT20Balances external system pressure and data synchronization efficiency. Prevents overloading external systems from sudden high concurrency.
DATA_SYNC_INTERVAL_MINUTES30 minutesSMO data updates frequently. A shorter synchronization cycle ensures information timeliness.
ERROR_RETRY_COUNT3 timesAddresses transient network fluctuations or occasional external system instability. Increases data transmission robustness.
AUTH_HEADER_NAMEAuthorizationUses a standard authentication header. Ensures interface call security and compatibility.

Three Common Pitfalls

  • Connection errors or timeouts: The interface call returns Connection timed out or Failed to connect. This often results from an incorrect target HTTP interface address (API_ENDPOINT), network firewall blocking, or the target server being overloaded and unresponsive.
  • Missing data fields or incorrect formats: Key fields are empty in the returned data, or field values do not match expected data types (e.g., incorrect date format). This typically occurs when the external system's returned data structure does not match the expected parsing model, or null values or exceptions are not handled correctly during data mapping.
  • Authentication failure: The interface returns an HTTP 401 Unauthorized or HTTP 403 Forbidden status code. This usually means the API key (API_KEY) is configured incorrectly, expired, or permissions are insufficient, preventing access to external system resources.

How to Verify Configuration

  • Perform a complete end-to-end data synchronization test. Check if HTTP request logs show an HTTP 200 OK status code. Confirm the data transfer volume matches expectations.
  • Randomly sample multiple synchronized SMO data records. Compare the values of corresponding fields in FastGPT with the original values in the external source system. Ensure data consistency.
  • Update a core SMO data record (e.g., subject visit status or adverse event details) in the external system. After one synchronization cycle, check if the corresponding record in FastGPT has updated as expected.
  • Simulate network interruption or temporary external system unavailability. Observe if the error retry mechanism attempts reconnection for the number of times configured in ERROR_RETRY_COUNT. Confirm it ultimately returns an acceptable error message.

The values provided are common starting points. Measure them against your own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.